Journal ArticleDOI
Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
Ramandeep Kaur M. Malhi,Sultanova Umida Rustamovna,Akash Anand,Prashant K. Srivastava,Sumit Kumar Chaudhary,Manish Kumar Pandey,Mukund Dev Behera,Amit Kumar,Prachi Singh,G. Sandhya Kiran +9 more
TLDR
In this paper, two nonparametric machine learning algorithms viz Support Vector Machines (SVMs) with different kernel functions were employed for the prediction of above ground biomass using different combinations of VV, VH, Normalized Difference Vegetation Index (NDVI) and Incidence Angle (IA).About:
This article is published in Advances in Space Research.The article was published on 2021-04-08. It has received 18 citations till now. The article focuses on the topics: Normalized Difference Vegetation Index & Random forest.read more
Citations
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Journal ArticleDOI
Effect of vegetation structure on above ground biomass in tropical deciduous forests of Central India
Preet Lal,Amit Kumar,Purabi Saikia,Anup Das,C. Patnaik,Gajendra Kumar,Arvind Chandra Pandey,Parul Srivastava,Chandra Shekhar Dwivedi,Mohammed Latif Khan +9 more
TL;DR: In this article, the above ground biomass (AGB) of tropical deciduous forests in Central India using field-based techniques and spaceborne quad-pol ALOS PALSAR-2 L-band and dual-pol Sen...
Journal ArticleDOI
Monitoring landscape fragmentation and aboveground biomass estimation in Can Gio Mangrove Biosphere Reserve over the past 20 years
TL;DR: In this article , the temporal and spatial changes of landscape pattern of land use/land cover (LULC) over the past 20 years in Can Gio Mangrove Biosphere Reserve (MBR), southern Vietnam were analyzed based on remote sensing data.
Journal ArticleDOI
Remote sensing-based biomass estimation of dry deciduous tropical forest using machine learning and ensemble analysis.
TL;DR: In this article , the authors proposed a framework to monitor above-ground biomass (AGB) at finer scales using open-source satellite data, which integrated four machine learning (ML) techniques with field surveys and satellite data to provide continuous spatial estimates of AGB at finer resolution.
Journal ArticleDOI
Optimal band characterization in reformation of hyperspectral indices for species diversity estimation
Akash Anand,Sultanova Umida Rustamovna,Ramandeep Kaur M. Malhi,Prashant K. Srivastava,Prachi Singh,Ashwini N. Mudaliar,George P. Petropoulos,G. Sandhya Kiran +7 more
TL;DR: In this article, the authors provided modified hyperspectral indices through detection of optimum bands for estimating species diversity within Shoolpaneshwar Wildlife Sanctuary (SWS) in India.
Journal ArticleDOI
Estimating Individual Tree Above-Ground Biomass of Chinese Fir Plantation: Exploring the Combination of Multi-Dimensional Features from UAV Oblique Photos
TL;DR: Wang et al. as discussed by the authors proposed an approach to estimate IT-AGB by introducing the color space intensity information into a regression-based model that incorporates three-dimensional point cloud and two-dimensional spectrum feature variables, and the accuracy was evaluated using a leave-one-out cross-validation approach.
References
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Journal ArticleDOI
Analyzing the Uncertainty of Estimating Forest Aboveground Biomass Using Optical Imagery and Spaceborne LiDAR
TL;DR: Six prediction methods were used to estimate forest AGB in Jiangxi Province, China by combining Geoscience Laser Altimeter System data, Moderate Resolution Imaging Spectroradiometer data, and field measurements and the results showed that the prediction methods had the most considerable effect on the prediction quality.
Journal ArticleDOI
Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas
Mohammad El Hajj,Nicolas Baghdadi,Ibrahim Fayad,Ghislain Vieilledent,Jean-Stéphane Bailly,Dinh Ho Tong Minh +5 more
TL;DR: In this article, a map of correction factors generated from GLAS (Geoscience Laser Altimeter System) spaceborne LiDAR data was used to improve Vieilledent's AGB map.
Journal ArticleDOI
Model-Based Compensation of Topographic Effects for Improved Stem-Volume Retrieval From CARABAS-II VHF-Band SAR Images
TL;DR: Using four or more images from the CARABAS-II system and a coarse digital elevation model with 50-m horizontal grid, the stem volume can be retrieved with an average root-mean-square error (rmse) of less than 60 m3 ha-1 for stem volumes in range of 80-700 m3 Ha-1.
Journal ArticleDOI
Retrieval of tropical forest biomass information from ALOS PALSAR data
TL;DR: In this article, the authors performed regression analysis to estimate above-ground forest biomass using PALSAR backscatter data for natural and planted forests in south-eastern Bangladesh.
Proceedings ArticleDOI
A Novel Storage Architecture for Facilitating Efficient Analytics of Health Informatics Big Data in Cloud
TL;DR: A new big data storage architecture consisting of application cluster and a storage cluster to facilitate read/write/update speedup as well as data optimization is proposed.